Recently, the AI community has sparked heated discussions due to the leaked new model "miqu". The performance of this model is said to be close to GPT-4, which once triggered a critical discussion in the field of open source AI. However, the investigation revealed that “miqu” was not a brand new model, but an older, quantified proof-of-concept model from Mistral. This incident highlighted the areas that still need to be improved in the development and security of large-scale language models, and also triggered further thinking about the risk of model leakage and open source community management.
There was a heated discussion in the AI community about leaking the new model "miqu", which was finally confirmed to be a quantified version of Mistral's old model. The model performance is close to GPT-4, which has aroused heated discussions among developers. Open source AI may usher in a critical moment. After testing and comparison, it was confirmed that miqu may be a leaked version of the Mistral model, an older proof-of-concept model. The CEO of Mistral revealed that he was an old model that was leaked by employees who were overly enthusiastic and did not ask the post on HuggingFace to be deleted. Discussions in the AI community have escalated. The suspected quantitative version of Mistral's miqu model has attracted industry attention, and the future trend is uncertain.
Although this "miqu" incident was ultimately confirmed not to be a revolutionary breakthrough, it also sounded a wake-up call for the AI industry, reminding everyone to pay attention to the importance of model security and intellectual property protection. In the future, how to balance the openness of the open source community and the security of the model will become an important topic.